Nonparametric Kernel Regression Approach
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F19%3A43955792" target="_blank" >RIV/49777513:23520/19:43955792 - isvavai.cz</a>
Result on the web
<a href="https://www2.scopus.com/record/display.uri?eid=2-s2.0-85070802548&origin=resultslist&sort=plf-f&src=s&sid=5a834ddff312d6226f5c6fb8e0888bf5&sot=autdocs&sdt=autdocs&sl=18&s=AU-ID%2856120952800%29&relpos=0&citeCnt=0&searchTerm=" target="_blank" >https://www2.scopus.com/record/display.uri?eid=2-s2.0-85070802548&origin=resultslist&sort=plf-f&src=s&sid=5a834ddff312d6226f5c6fb8e0888bf5&sot=autdocs&sdt=autdocs&sl=18&s=AU-ID%2856120952800%29&relpos=0&citeCnt=0&searchTerm=</a>
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Nonparametric Kernel Regression Approach
Original language description
This paper is focused on a possible methodology for estimating of regression curve by nonparametric kernel regression approach. The main objective is a description of nonparametric regression function with using Nadaraya-Watson approach including a real data application for beer consumption in the Czech Republic and the Slovak Republic. It includes the influence of the basic parameters and proposal some appropriate optimization methods. It means a calibration of the proposed model.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10103 - Statistics and probability
Result continuities
Project
<a href="/en/project/LO1506" target="_blank" >LO1506: Sustainability support of the centre NTIS - New Technologies for the Information Society</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
18th Conference on Applied Mathematics, APLIMAT 2019 - Proceedings
ISBN
978-80-227-4884-1
ISSN
—
e-ISSN
—
Number of pages
15
Pages from-to
1182-1196
Publisher name
SPEKTRUM STU
Place of publication
Bratislava
Event location
Bratislava, Slovensko
Event date
Feb 5, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—